Abstract: A methods and systems for capacity planning of server resources are described wherein a load simulation tool is used to use actual data gathered from a server cluster during operation to simulate server cluster operation in which the load (requests per second) can be increased, and the effects on the utilization of resources can be observed. Plans containing recommendations are then presented to a system user so the user can make decisions necessary regarding whether to change configuration hardware to meet expected load increases in the future.

Abstract: Methods and systems for capacity planning of server resources are described wherein fixed resources of a server cluster are used in comparison to similar server cluster benchmarks to determine the maximum load—requests per second—that can be handled by the server cluster. The maximum load is used to determine utilization of server resources and to provide estimates of server resource utilization for hypothetical loads. A recommendation as to changes to server resources to handle the hypothetical loads is displayed to the user.

Abstract: A methods and systems for capacity planning of server resources are described wherein a load simulation tool is used to use actual data gathered from a server cluster during operation to simulate server cluster operation in which the load (requests per second) can be increased, and the effects on the utilization of resources can be observed. Plans containing recommendations are then presented to a system user so the user can make decisions necessary regarding whether to change configuration hardware to meet expected load increases in the future.

Abstract: A methods and systems for capacity planning of server resources are described wherein a load simulation tool is used to use actual data gathered from a server cluster during operation to simulate server cluster operation in which the load (requests per second) can be increased, and the effects on the utilization of resources can be observed. Plans containing recommendations are then presented to a system user so the user can make decisions necessary regarding whether to change configuration hardware to meet expected load increases in the future.

Abstract: Methods and systems for capacity planning of server resources are described wherein fixed resources of a server cluster are used in comparison to similar server cluster benchmarks to determine the maximum load—requests per second—that can be handled by the server cluster. The maximum load is used to determine utilization of server resources and to provide estimates of server resource utilization for hypothetical loads. A recommendation as to changes to server resources to handle the hypothetical loads is displayed to the user.

Abstract: A system and method is provided for gathering and aggregating operational metrics (e.g., performance metrics, process events, health monitor state, server state) for a plurality of members as a single entity and for a plurality of entities as a singular entity. The system and method provides for operational metrics of members and entities to be aggregated and retrieved as a single result set, such that entity wide operational metrics can be acquired, monitored and displayed as a single entity.

Abstract: A system and method is provided for gathering and aggregating operational metrics (e.g., performance metrics, process events, health monitor state, server state) for a plurality of members as a single entity and for a plurality of entities as a singular entity. The system and method provides for operational metrics of members and entities to be aggregated and retrieved as a single result set, such that entity wide operational metrics can be acquired, monitored and displayed as a single entity.

Abstract: A system and method is provided for gathering and aggregating operational metrics (e.g., performance metrics, process events, health monitor state, server state) for a plurality of members as a single entity and for a plurality of entities as a singular entity. The system and method provides for operational metrics of members and entities to be aggregated and retrieved as a single result set, such that entity wide operational metrics can be acquired, monitored and displayed as a single entity.

Abstract: A system and method is provided for gathering and aggregating operational metrics (e.g., performance metrics, process events, health monitor state, server state) for a plurality of members as a single entity and for a plurality of entities as a singular entity. The system and method provides for operational metrics of members and entities to be aggregated and retrieved as a single result set, such that entity wide operational metrics can be acquired, monitored and displayed as a single entity.

Abstract: Methods and systems for capacity planning of server resources are described wherein fixed resources of a server cluster are used in comparison to similar server cluster benchmarks to determine the maximum load—requests per second—that can be handled by the server cluster. The maximum load is used to determine utilization of server resources and to provide estimates of server resource utilization for hypothetical loads. A recommendation as to changes to server resources to handle the hypothetical loads is displayed to the user.

Abstract: A system and method is provided for monitoring, gathering and aggregating performance metrics of a plurality of members configured as an entity. Configurable performance metric settings can be set at a first computer (e.g., a first member) and dynamically propagated to all members of the entity to establish performance metric configuration settings at each of the plurality of members. In one aspect of the invention, a system and method log performance metric data periodically at a predefined time period and resolution at a plurality of members for one or more performance metrics. The performance metric data values logged at the predefined time period and resolution are aggregated to data sets of at least one larger time period and resolution. Valid performance data values of similar time periods and resolutions are then gathered from the plurality of members and aggregated over the entity to provide a unified result set for the entity.